Hui‐Wen Shih

16 total papers · 732 total citations
12 papers, 613 citations indexed

About

Hui‐Wen Shih is a scholar working on Organic Chemistry, Molecular Biology and Biochemistry. According to data from OpenAlex, Hui‐Wen Shih has authored 12 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Organic Chemistry, 5 papers in Molecular Biology and 3 papers in Biochemistry. Recurrent topics in Hui‐Wen Shih's work include Chemical Synthesis and Analysis (5 papers), Click Chemistry and Applications (5 papers) and Asymmetric Synthesis and Catalysis (3 papers). Hui‐Wen Shih is often cited by papers focused on Chemical Synthesis and Analysis (5 papers), Click Chemistry and Applications (5 papers) and Asymmetric Synthesis and Catalysis (3 papers). Hui‐Wen Shih collaborates with scholars based in United States, Taiwan and China. Hui‐Wen Shih's co-authors include Jennifer A. Prescher, David N. Kamber, Jun Tae Song, Li Deng, K. N. Houk, Yong Liang, R. David Row, David M. Patterson, Lidia Nazarova and Steven A. Lopez and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Hui‐Wen Shih

12 papers receiving 610 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hui‐Wen Shih	572	310	106	83	29	12	613
Ampofo Darko	418 0.7×	207 0.7×	115 1.1×	85 1.0×	19 0.7×	15	499
Kuniyuki Kishikawa	528 0.9×	329 1.1×	130 1.2×	250 3.0×	39 1.3×	15	637
Mandy K. S. Vink	440 0.8×	413 1.3×	130 1.2×	49 0.6×	35 1.2×	12	630
Yinzhi Fang	445 0.8×	287 0.9×	112 1.1×	29 0.3×	20 0.7×	13	516
Sandra Gabillet	476 0.8×	250 0.8×	73 0.7×	22 0.3×	18 0.6×	13	532
Bert E. Thomas	431 0.8×	248 0.8×	38 0.4×	37 0.4×	66 2.3×	22	686
David Barnes‐Seeman	380 0.7×	277 0.9×	96 0.9×	62 0.7×	32 1.1×	13	633
Paul D. Gesellchen	191 0.3×	276 0.9×	50 0.5×	49 0.6×	61 2.1×	15	507
Steven B. Thorpe	444 0.8×	213 0.7×	65 0.6×	149 1.8×	21 0.7×	10	561
Todd T. Romoff	340 0.6×	435 1.4×	67 0.6×	33 0.4×	43 1.5×	17	669

Countries citing papers authored by Hui‐Wen Shih

Since Specialization

Citations

This map shows the geographic impact of Hui‐Wen Shih's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hui‐Wen Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui‐Wen Shih more than expected).

Fields of papers citing papers by Hui‐Wen Shih

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Wen Shih. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hui‐Wen Shih. The network helps show where Hui‐Wen Shih may publish in the future.

Co-authorship network of co-authors of Hui‐Wen Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Wen Shih. A scholar is included among the top collaborators of Hui‐Wen Shih based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hui‐Wen Shih. Hui‐Wen Shih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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